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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Buletin Ilmiah Sarjana Teknik Elektro
Abdullah M. Al-Ansi
Thamar University
Computer Science & IT Electrical & Electronics Engineering

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An Overview of Artificial Intelligence (AI) in 6G: Types, Advantages, Challenges and Recent Applications Abdullah M. Al-Ansi; Ahmed Al-Ansi
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.7603

Abstract

The world is on the cusp of a new communications revolution. The next generation of communication networks, known as 6G, will enable a wide range of new applications and services that are not possible with current 4G or 5G networks. In overview, we will review Artificial Intelligence (AI) Types, Advantages, challenges and some of the most promising applications of 6G technology. Some of the key applications that are being developed for 6G communication networks include Digital Twin (DT), Holograms, Robot Avatar, High Density (IoT), and AR & VR. The use of these applications in 6G communication networks is not a new concept, but integration to 6G will need more improvements. These applications have been around for some time now and have seen various improvements over the years. However, with the advent of 6G communication networks, the use of AR and VR is expected to see a drastic change. This paper contributes to the existing literature about the nature of 6G and applications to give more understanding and further discussion in potential and new trends.
Eidos System Prediction of Myopia in Children in Early Education Stages Abdullah M. Al-Ansi; Mudar Almadi; Parul Ichhpujani; Vladimir Ryabtsev
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 2 (2023): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i2.26292

Abstract

This study used a database containing factors that, when processed using the Eidos intellectual system, detect myopia in children of primary school age. The database includes parameters that take into account the properties of the visual system, as well as factors that determine the duration of the performance of the main functions of the cognitive and entertaining nature of the students. The results obtained allow us to determine those factors that are more conducive to the appearance of myopia. The negative impact of some factors that cause myopia can be removed, such as, limiting the screen time spent, increasing outdoor activities/sports. A retrospective training sample can be used for automated processing using the Eidos intellectual system of the results obtained during the preventive examination of schoolchildren by an ophthalmologist. Early intervention towards myopia management in students, improves the chances of maintaining vision and slows myopia progression. The contribution of this research includes factors of a social nature that could be influenced at school in the process of education, increasing the attention towards childent, awareness of maintaining vision and slows down the progression of myopia.
Co-Authors Ahmed Al-Ansi Mudar Almadi Parul Ichhpujani Vladimir Ryabtsev